Coarse-grained topology estimation via graph sampling

@inproceedings{Kurant2012CoarsegrainedTE,
  title={Coarse-grained topology estimation via graph sampling},
  author={M. Kurant and M. Gjoka and Y. Wang and Zack W. Almquist and C. Butts and A. Markopoulou},
  booktitle={WOSN '12},
  year={2012}
}
  • M. Kurant, M. Gjoka, +3 authors A. Markopoulou
  • Published in WOSN '12 2012
  • Computer Science, Physics, Mathematics
  • In many online networks, nodes are partitioned into categories (e.g., countries or universities in OSNs), which naturally defines a weighted category graph i.e., a coarse-grained version of the underlying network. In this paper, we show how to efficiently estimate the category graph from a probability sample of nodes. We prove consistency of our estimators and evaluate their efficiency via simulation. We also apply our methodology to a sample of Facebook users to obtain a number of category… CONTINUE READING
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